Opendata, web and dolomites

PAcMEN SIGNED

Predictive and Accelerated Metabolic Engineering Network

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PAcMEN project word cloud

Explore the words cloud of the PAcMEN project. It provides you a very rough idea of what is the project "PAcMEN" about.

combination    altogether    secondments    networks    cells    smes    dependent    turnover    itself    cell    ideal    created    move    positive    collaborative    consumption    pacmen    young    economy    causes    prepare    collaborations    distinguishes    establishing    coal    breakthrough    energy    microbial    entrepreneurship    career    tomorrow    supervision    16    students    academia    academic    fossil    technological    conduct    waste    biomass    chemicals    framework    predictable    screening    coaching    innovation    renewable    predictability    oil    finite    phd    commercialize    sustainable    times    innovations    construction    contribution    factories    industry    metabolic    universities    pioneers    disciplines    programs    individual    catastrophic    establishment    area    accelerated    scientific    participation    renowned    factory    training    skills    world    interdisciplinary    network    convert    biorefineries    engineering    15    environmental    industrial    gas    fuels    scientists   

Project "PAcMEN" data sheet

The following table provides information about the project.

Coordinator
DANMARKS TEKNISKE UNIVERSITET 

Organization address
address: ANKER ENGELUNDSVEJ 1 BYGNING 101 A
city: KGS LYNGBY
postcode: 2800
website: www.dtu.dk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Project website http://www.pacmen-itn.eu/
 Total cost 3˙967˙591 €
 EC max contribution 3˙967˙591 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2016
 Funding Scheme MSCA-ITN-ETN
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) coordinator 1˙450˙409.00
2    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 530˙453.00
3    CHALMERS TEKNISKA HOEGSKOLA AB SE (GOETEBORG) participant 527˙318.00
4    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 510˙748.00
5    SILICOLIFE LDA PT (BRAGA) participant 450˙228.00
6    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 249˙216.00
7    SESAM-BIOTECH GMBH DE (AACHEN) participant 249˙216.00
8    BORREGAARD AS NO (SARPSBORG) partner 0.00
9    DONG ENERGY THERMAL POWER AS DK (FREDERICIA) partner 0.00
10    DSM FOOD SPECIALTIES BV NL (DELFT) partner 0.00
11    EVOLVA AG CH (REINACH) partner 0.00
12    TeselaGen US (San Francisco) partner 0.00
13    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) partner 0.00

Map

 Project objective

The world economy is dependent on fossil resources: oil, gas and coal. The fossil resources are finite and their consumption causes catastrophic environmental changes. Therefore we need to move towards sustainable economy using renewable resources for energy and chemicals production. Via metabolic engineering approach, novel microbial cells can be created that can convert biomass and waste into fuels and chemicals. Metabolic engineering however distinguishes itself from other engineering disciplines by low predictability of the design and long turnover times for the cell factory construction and screening. Therefore there is a need for scientists, who can address these challenges. European Training Network on Predictable and Accelerated Metabolic Engineering Networks (PAcMEN) will be established at 5 renowned European universities and 2 SMEs with participation of 5 industrial and 1 academic partner organizations. In this program 16 PhD students (of which 15 funded by EU contribution) will learn to conduct state-of-the-art research on metabolic engineering of microbial cell factories and learn to commercialize innovations. This will be achieved via collaborative research projects under supervision of top scientists from academia and industry, network training, secondments with network partners, training on innovation and entrepreneurship, and individual career coaching. Altogether, PAcMEN training programme will provide young scientists with the ideal combination of scientific, technological, industrial and management skills to prepare them for their role as breakthrough pioneers in the establishment of tomorrow’s biorefineries. The PAcMEN project will have an overall positive impact by strengthening the research networks in the area of metabolic engineering, establishing long-term collaborations between the universities and industry, and by creating a framework for future interdisciplinary training programs.

 Deliverables

List of deliverables.
PAcMEN website Websites, patent fillings, videos etc. 2020-01-29 13:50:28
A new validated method for FACS-based screening of engineered proteins Documents, reports 2020-01-29 13:50:28

Take a look to the deliverables list in detail:  detailed list of PAcMEN deliverables.

 Publications

year authors and title journal last update
List of publications.
2020 Pierre Salvy, Vassily Hatzimanikatis
The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-13818-7
Nature Communications 11/1 2020-02-04
2019 Petter Holland, David Bergenholm, Christoph S Börlin, Guodong Liu, Jens Nielsen
Predictive models of eukaryotic transcriptional regulation reveals changes in transcription factor roles and promoter usage between metabolic conditions
published pages: 4986-5000, ISSN: 0305-1048, DOI: 10.1093/nar/gkz253
Nucleic Acids Research 47/10 2020-01-29
2019 Noushin Hadadi, Homa MohammadiPeyhani, Ljubisa Miskovic, Marianne Seijo, Vassily Hatzimanikatis
Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites
published pages: 7298-7307, ISSN: 0027-8424, DOI: 10.1073/pnas.1818877116
Proceedings of the National Academy of Sciences 116/15 2020-01-29
2019 Hongzhong Lu, Feiran Li, Benjamín J. Sánchez, Zhengming Zhu, Gang Li, Iván Domenzain, Simonas Marcišauskas, Petre Mihail Anton, Dimitra Lappa, Christian Lieven, Moritz Emanuel Beber, Nikolaus Sonnenschein, Eduard J. Kerkhoven, Jens Nielsen
A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-11581-3
Nature Communications 10/1 2020-01-29
2019 Jonathan Dahlin, Carina Holkenbrink, Eko Roy Marella, Guokun Wang, Ulf Liebal, Christian Lieven, Dieter Weber, Douglas McCloskey, Birgitta E. Ebert, Markus J. Herrgård, Lars Mathias Blank, Irina Borodina
Multi-Omics Analysis of Fatty Alcohol Production in Engineered Yeasts Saccharomyces cerevisiae and Yarrowia lipolytica
published pages: , ISSN: 1664-8021, DOI: 10.3389/fgene.2019.00747
Frontiers in Genetics 10 2020-01-29
2019 Gang Li, Kersten S. Rabe, Jens Nielsen, Martin K. M. Engqvist
Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima
published pages: 1411-1420, ISSN: 2161-5063, DOI: 10.1021/acssynbio.9b00099
ACS Synthetic Biology 8/6 2020-01-29
2018 Christoph S Börlin, Nevena Cvetesic, Petter Holland, David Bergenholm, Verena Siewers, Boris Lenhard, Jens Nielsen
Saccharomyces cerevisiae displays a stable transcription start site landscape in multiple conditions
published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/foy128
FEMS Yeast Research 19/2 2020-01-29
2019 Eko Roy Marella, Jonathan Dahlin, Marie Inger Dam, Jolanda ter Horst, Hanne Bjerre Christensen, Suresh Sudarsan, Guokun Wang, Carina Holkenbrink, Irina Borodina
A single-host fermentation process for the production of flavor lactones from non-hydroxylated fatty acids
published pages: , ISSN: 1096-7176, DOI: 10.1016/j.ymben.2019.08.009
Metabolic Engineering 2020-01-29
2019 Gang Li, Boyang Ji, Jens Nielsen
The pan-genome of Saccharomyces cerevisiae
published pages: , ISSN: 1567-1356, DOI: 10.1093/femsyr/foz064
FEMS Yeast Research 19/7 2020-01-29
2019 Christoph S Börlin, David Bergenholm, Petter Holland, Jens Nielsen
A bioinformatic pipeline to analyze ChIP-exo datasets
published pages: , ISSN: 2396-8923, DOI: 10.1093/biomethods/bpz011
Biology Methods and Protocols 4/1 2020-01-29
2018 Søren D Petersen, Jie Zhang, Jae S Lee, Tadas Jakočiūnas, Lise M Grav, Helene F Kildegaard, Jay D Keasling, Michael K Jensen
Modular 5′-UTR hexamers for context-independent tuning of protein expression in eukaryotes
published pages: , ISSN: 0305-1048, DOI: 10.1093/nar/gky734
Nucleic Acids Research 2020-01-29
2018 Eko Roy Marella, Carina Holkenbrink, Verena Siewers, Irina Borodina
Engineering microbial fatty acid metabolism for biofuels and biochemicals
published pages: 39-46, ISSN: 0958-1669, DOI: 10.1016/j.copbio.2017.10.002
Current Opinion in Biotechnology 50 2020-01-29
2017 Vasil D\'Ambrosio, Michael K. Jensen
Lighting up yeast cell factories by transcription factor-based biosensors
published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/fox076
FEMS Yeast Research 17/7 2020-01-29
2018 Farshad Darvishi, Mehdi Ariana, Eko Roy Marella, Irina Borodina
Advances in synthetic biology of oleaginous yeast Yarrowia lipolytica for producing non-native chemicals
published pages: 5925-5938, ISSN: 0175-7598, DOI: 10.1007/s00253-018-9099-x
Applied Microbiology and Biotechnology 102/14 2020-01-29
2018 Hannes Juergens, Javier A Varela, Arthur R Gorter de Vries, Thomas Perli, Veronica J M Gast, Nikola Y Gyurchev, Arun S Rajkumar, Robert Mans, Jack T Pronk, John P Morrissey, Jean-Marc G Daran
Genome editing in Kluyveromyces and Ogataea yeasts using a broad-host-range Cas9/gRNA co-expression plasmid
published pages: , ISSN: 1567-1364, DOI: 10.1093/femsyr/foy012
FEMS Yeast Research 18/3 2020-01-29
2018 Pierre Salvy, Georgios Fengos, Meric Ataman, Thomas Pathier, Keng C Soh, Vassily Hatzimanikatis
pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis
published pages: , ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty499
Bioinformatics 2020-01-29

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PACMEN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PACMEN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

I-DireCT (2019)

Immune DIREcted and Cancer-selective immunoTherapy

Read More  

IMAGE-IN (2020)

Imaging infections: integrated, multiscale visualization of infections and host response

Read More  

ULTIMATE (2019)

Bottom-Up generation of atomicalLy precise syntheTIc 2D MATerials for high performance in energy and Electronic applications – A multi-site innovative training action

Read More